Free Lesson
Synthetic Data for AI Evaluation: When and How to Use It
45 min
Nov 19, 2026 12:00 PM
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What you'll learn
Identify when to use synthetic evaluation data
Determine when synthetic data is a sensible choice for evaluating AI systems, and when real-world data is essential.
Generate targeted synthetic evaluation cases
Create synthetic test cases for different AI quality aspects to improve coverage and explore potential failure modes.
Assess the quality of synthetic evaluation data
Evaluate synthetic data for accuracy, diversity, representativeness, and potential biases.
Why this topic matters
High-quality evaluation data is essential for assessing AI systems, but collecting real-world examples can be costly or impractical. Synthetic data can expand test coverage, target specific failure modes, and reduce costs, but only if it is carefully generated and validated.
This free lesson will help you choose appropriate generation methods, create targeted test cases, and check their quality before using them to evaluate your own AI systems.
